Pinned Repositories
diffwave
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
graftr
graftr: an interactive shell to view and edit PyTorch checkpoints.
haste
Haste: a fast, simple, and open RNN library
wavegrad
A fast, high-quality neural vocoder.
api-docs
An API documentation browser for Atom.
atom-sequence-diagram
A sequence diagram generator for Atom.
basis
Game server for dotproduct
dotproduct
HTML5 multiplayer space shooter
flingfd
A tiny library to send file descriptors across processes
tf-explorer
A command-line interface tool to explore TensorFlow checkpoints.
sharvil's Repositories
sharvil/flingfd
A tiny library to send file descriptors across processes
sharvil/api-docs
An API documentation browser for Atom.
sharvil/dotproduct
HTML5 multiplayer space shooter
sharvil/tf-explorer
A command-line interface tool to explore TensorFlow checkpoints.
sharvil/atom-sequence-diagram
A sequence diagram generator for Atom.
sharvil/basis
Game server for dotproduct
sharvil/subspace
Code repository for SubSpace programs / tools
sharvil/Transformer-TTS
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
sharvil/.dotfiles
$HOME configuration files managed by GNU stow
sharvil/ccc
Solutions to Canadian Computing Competition problems
sharvil/leveldb-repl
A small, self-contained C++ REPL for LevelDB
sharvil/protod
A dependency analyzer for protobuf files.
sharvil/termtosvg
Record terminal sessions as SVG animations
sharvil/crepe
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
sharvil/msee
Msee is a command-line tool to read markdown file.
sharvil/node-leveldb
Self-contained Node.js bindings for LevelDB
sharvil/node-sequence-diagram
Draws simple SVG sequence diagrams from textual representation of the diagram
sharvil/onnx
Open standard for machine learning interoperability
sharvil/penn
Pitch Estimating Neural Networks (PENN)
sharvil/pipecat
Open Source framework for voice and multimodal conversational AI
sharvil/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration